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redis

langcache-embed-v1

redis/langcache-embed-v1
sentence similarity and retrievalLicense: unknownHashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face for sentence similarity: redis/langcache-embed-v1 · sentence transformers

Modellinformationen

langcache-embed-v1 is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (596 MB). The primary file needs about 2 GB free for the selected file. License: unknown. The SHA-256 prefix is f4d82e69a60b. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Enthaltene Dateien

8 hosted of 14 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for redis/langcache-embed-v1. Task: sentence similarity. Library: sentence transformers. Base model: Alibaba-NLP/gte-modernbert-base. Includes 5 model-card evaluation signals. Popularity signal at import: 149,750 downloads and 15 likes.

Kurzinfo

Hosted here
8 hosted of 14 listed
Full repo upstream
1.79 GB
Recommended file
596.1 MB · model.safetensors
Format
safetensors · ONNX · BIN
Downloads on Hugging Face
149,750
File hashes
Hashes recorded. Date not recorded.

Lizenz und Quelle

License: unknown

No license was found in metadata, the LICENSE file or README. You can download the files; check the terms before you use or share them.

See the JSON record →

License
unknown
Task
sentence similarity and retrieval
Hosted here
at least 8 listed files; full count and size unknown
Full repo upstream
1.79 GB
Recommended file
596.1 MB · model.safetensors
Files
8 hosted of 14 listed
Added to Hugging Bay
Updated at source
Source
redis/langcache-embed-v1

FAQ

What is this model?

redis/langcache-embed-v1 is an embedding model for sentence similarity and retrieval published by redis, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for sentence similarity: redis/langcache-embed-v1 · sentence transformers

Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 1.79 GB. The recommended download, model.safetensors, is 596.1 MB.

What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 1.79 GB.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-redis-langcache-embed-v1/safety on Hugging Bay.

Will redis/langcache-embed-v1 run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.